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Google DeepMind's paper introduces the first systematic framework for understanding how the web can be weaponized against autonomous AI agents, showing hidden prompt injections can commandeer agents in up to 86% of scenarios, and presents a taxonomy of six 'AI Agent Traps' targeting perception, reasoning, memory, action, multi-agent dynamics, and human oversight.